บทบาทเทคโนโลยีปัญญาประดิษฐ์สำหรับจัดการโรคเบาหวาน

Prakarn  Pornwiriyangkura; Pawaran  Chansawang; Pacharaphol  Suwannapoom; Panalee  Kosonsasitorn; Worameth  Chanpipattanachai; Chawayot  Anurakwongsri; Pundita  Detnattawut; Nitis  Smanthong

Authors

Prakarn Pornwiriyangkura Bodindecha (Sing Singhaseni) School
Pawaran Chansawang Prasarnmit Demonstration School (Secondary)
Pacharaphol Suwannapoom Piboonbumpen Demonstration School, Burapha University
Panalee Kosonsasitorn Montfort College
Worameth Chanpipattanachai Saraburiwitthayakhom School
Chawayot Anurakwongsri Mahidol Wittayanusorn School
Pundita Detnattawut Prasarnmit Demonstration School (Secondary)
Nitis Smanthong National Institute of Health of Thailand, Department of Medical Sciences, Ministry of Public Health, Thailand

Keywords:

Diabetes Mellitus (DM), Artificial Intelligence (AI), Diagnosis; Diabetes management

Abstract

Diabetes mellitus (DM) is a chronic disease that remains a public health problem in Thailand and many countries around the world. Diagnosis that focuses solely on blood sugar measurement may not be able to screen for early-stage disease. This challenge motivates researchers to seek more convenient and rapid methods for predicting diseases. Presently, the utilization of artificial intelligence (AI) technology is emerging as a significant player in the diagnosis and management of DM patients. The utilization of data set by machine learning (ML) and data analysis through deep learning (DL) are an important process in developing AI for use in health sciences. As a consequence, AI has been developed and deployed for diagnosing DM using patient data, while also efficiently identifying datasets crucial for diagnosis. This capability facilitates significant enhancements in the effective diagnosis, treatment, and management of DM. This article aims to explore into educational data and examine the application of AI in diagnosing and screening DM patients. The general information about DM and AI technology were described, such as the roles, advantages, and research reports on the development of AI for DM diagnosis. The information was reviewed by using terms “Diabetes mellitus or DM” “Artificial Intelligence or AI” through the Google scholar. The information and research articles were randomly selected from the years 2019 to 2023. This review may be advantageous for developing public health systems in the diagnosis process and improving the efficiency of treatment, which may be effectively applied to other diseases.

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